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About

Inbar Fried is a pioneering robotics and medical devices researcher whose work sits at the intersection of surgical robotics, motion planning, and minimally invasive medicine. She has made significant contributions to the development and autonomy of steerable needle systems — flexible, curved-path medical devices capable of navigating around anatomical obstacles to reach difficult targets within living tissue. Her landmark 2023 paper on autonomous medical needle steering in vivo (45 citations) represents a breakthrough in translating robotic needle control from laboratory settings into real biological environments, addressing longstanding challenges in interventional medicine. Much of Fried's research focuses on lung cancer diagnosis, where early biopsy is critical yet technically demanding. Her 2021 work on backward planning for a multi-stage steerable needle lung robot (31 citations) and her investigations into maximizing reachable lung volume demonstrate a systematic effort to make bronchoscopic biopsy safer and more comprehensive. She has also advanced bronchoscope localization under respiratory deformation and explored monocular depth estimation from endoscopy video, broadening her contributions to medical imaging and robot perception. Her development of robust start-position metrics reflects a commitment to clinical deployability and patient safety. Across her growing body of work, Fried has established herself as a leading voice in autonomous surgical robotics.